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Zhenghua Chen
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2020 – today
- 2024
- [j77]Yuecong Xu, Haozhi Cao, Jianxiong Yin, Zhenghua Chen, Xiaoli Li, Zhengguo Li, Qianwen Xu, Jianfei Yang:
Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study. Int. J. Comput. Vis. 132(4): 1292-1309 (2024) - [j76]Cunyi Yin, Xiren Miao, Jing Chen, Hao Jiang, Jianfei Yang, Yunjiao Zhou, Min Wu, Zhenghua Chen:
PowerSkel: A Device-Free Framework Using CSI Signal for Human Skeleton Estimation in Power Station. IEEE Internet Things J. 11(11): 20165-20177 (2024) - [j75]Sha Zhu, Qiang Li, Jianwei Zhao, Chunguang Zhang, Guang Zhao, Lu Li, Zhenghua Chen, Yiping Chen:
A Deep-Learning-Based Method for Extracting an Arbitrary Number of Individual Power Lines from UAV-Mounted Laser Scanning Point Clouds. Remote. Sens. 16(2): 393 (2024) - [j74]Zhenghua Chen, Hongcheng Zeng, Yamin Wang, Wei Yang, Yanan Guan, Wei Liu:
A Texture Enhancement Method for Oceanic Internal Wave Synthetic Aperture Radar Images Based on Non-Local Mean Filtering and Texture Layer Enhancement. Remote. Sens. 16(7): 1172 (2024) - [j73]Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network. IEEE Trans. Artif. Intell. 5(1): 321-333 (2024) - [j72]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Contrastive Domain Adaptation for Time-Series Via Temporal Mixup. IEEE Trans. Artif. Intell. 5(3): 1185-1194 (2024) - [j71]Qing Xu, Keyu Wu, Min Wu, Kezhi Mao, Xiaoli Li, Zhenghua Chen:
Reinforced Knowledge Distillation for Time Series Regression. IEEE Trans. Artif. Intell. 5(6): 3184-3194 (2024) - [j70]Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen:
Reinforced Reweighting for Self-Supervised Partial Domain Adaptation. IEEE Trans. Artif. Intell. 5(9): 4813-4822 (2024) - [j69]Xiaoyao Zheng, Xingwang Li, Zhenghua Chen, Liping Sun, Qingying Yu, Liangmin Guo, Yonglong Luo:
Enhanced Self-Attention Mechanism for Long and Short Term Sequential Recommendation Models. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2457-2466 (2024) - [j68]Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen, Min Wu, Zhenghua Chen:
Tower Masking MIM: A Self-Supervised Pretraining Method for Power Line Inspection. IEEE Trans. Ind. Informatics 20(1): 513-523 (2024) - [j67]Ruibing Jin, Duo Zhou, Min Wu, Xiaoli Li, Zhenghua Chen:
An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 20(2): 1093-1102 (2024) - [j66]Wei Cui, Keyu Wu, Min Wu, Xiaoli Li, Zhenghua Chen:
WiCAU: Comprehensive Partial Adaptation With Uncertainty-Aware for WiFi-Based Cross-Environment Activity Recognition. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j65]Wenjun Sun, Ruqiang Yan, Ruibing Jin, Rui Zhao, Zhenghua Chen:
FedAlign: Federated Model Alignment via Data-Free Knowledge Distillation for Machine Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j64]Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen:
Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [j63]Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Zhipeng Cai, Lulu Zhao, Jianqing Li, Chengyu Liu:
Graph Convolutional Network With Connectivity Uncertainty for EEG-Based Emotion Recognition. IEEE J. Biomed. Health Informatics 28(10): 5917-5928 (2024) - [j62]Shijia Liu, Zhenghua Chen, Min Wu, Chang Liu, Liangyin Chen:
WiSR: Wireless Domain Generalization Based on Style Randomization. IEEE Trans. Mob. Comput. 23(5): 4520-4532 (2024) - [j61]Shijia Liu, Zhenghua Chen, Min Wu, Hao Wang, Bin Xing, Liangyin Chen:
Generalizing Wireless Cross-Multiple-Factor Gesture Recognition to Unseen Domains. IEEE Trans. Mob. Comput. 23(5): 5083-5096 (2024) - [j60]Yuecong Xu, Jianfei Yang, Haozhi Cao, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation. Trans. Mach. Learn. Res. 2024 (2024) - [j59]Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li:
Self-Supervised Autoregressive Domain Adaptation for Time Series Data. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1341-1351 (2024) - [j58]Yuecong Xu, Haozhi Cao, Kezhi Mao, Zhenghua Chen, Lihua Xie, Jianfei Yang:
Aligning Correlation Information for Domain Adaptation in Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6767-6778 (2024) - [j57]Wenjun Sun, Ruqiang Yan, Ruibing Jin, Jiawen Xu, Yuan Yang, Zhenghua Chen:
LiteFormer: A Lightweight and Efficient Transformer for Rotating Machine Fault Diagnosis. IEEE Trans. Reliab. 73(2): 1258-1269 (2024) - [c38]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data. AAAI 2024: 15715-15724 - [c37]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Graph-Aware Contrasting for Multivariate Time-Series Classification. AAAI 2024: 15725-15734 - [c36]Xinyuan Sun, Ji Shi, Yinjun Han, Zhenghua Chen:
PMEMgreSQL: Embracing PostgreSQL with Persistent Memory. APWeb/WAIM (5) 2024: 448-458 - [c35]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li:
TSLANet: Rethinking Transformers for Time Series Representation Learning. ICML 2024 - [i44]Yucheng Wang, Ruibing Jin, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data. CoRR abs/2403.03645 (2024) - [i43]Weichao Lan, Yiu-ming Cheung, Qing Xu, Buhua Liu, Zhikai Hu, Mengke Li, Zhenghua Chen:
Improve Knowledge Distillation via Label Revision and Data Selection. CoRR abs/2404.03693 (2024) - [i42]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li:
TSLANet: Rethinking Transformers for Time Series Representation Learning. CoRR abs/2404.08472 (2024) - [i41]Zhihao Wen, Yuan Fang, Pengcheng Wei, Fayao Liu, Zhenghua Chen, Min Wu:
Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction. CoRR abs/2405.04336 (2024) - [i40]Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li:
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. CoRR abs/2405.06038 (2024) - [i39]Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen:
Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. CoRR abs/2405.17493 (2024) - [i38]Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen:
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation. CoRR abs/2406.02635 (2024) - [i37]Ruibing Jin, Qing Xu, Min Wu, Yuecong Xu, Dan Li, Xiaoli Li, Zhenghua Chen:
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices. CoRR abs/2406.08765 (2024) - [i36]Yiyuan Yang, Zheshun Wu, Yong Chu, Zhenghua Chen, Zenglin Xu, Qingsong Wen:
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives. CoRR abs/2407.11280 (2024) - [i35]Edward, Mohamed Ragab, Min Wu, Yuecong Xu, Zhenghua Chen, Abdulla Alseiari, Xiaoli Li:
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments. CoRR abs/2407.17117 (2024) - [i34]Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends. CoRR abs/2409.19629 (2024) - [i33]Yucheng Wang, Peiliang Gong, Min Wu, Felix Ott, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation. CoRR abs/2409.19635 (2024) - 2023
- [j56]Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong:
Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article]. IEEE Comput. Intell. Mag. 18(2): 60-77 (2023) - [j55]Qing Xu, Min Wu, Edwin Khoo, Zhenghua Chen, Xiaoli Li:
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life. IEEE CAA J. Autom. Sinica 10(1): 177-187 (2023) - [j54]Yu Wang, Wei Cui, Nhu Khue Vuong, Zhenghua Chen, Yu Zhou, Min Wu:
Feature selection and domain adaptation for cross-machine product quality prediction. J. Intell. Manuf. 34(4): 1573-1584 (2023) - [j53]Yaofeng Tu, Rong Xiao, Yinjun Han, Zhenghua Chen, Hao Jin, Xuecheng Qi, Xinyuan Sun:
DDUC: an erasure-coded system with decoupled data updating and coding. Frontiers Inf. Technol. Electron. Eng. 24(5): 716-730 (2023) - [j52]Hongxiang Gao, Min Wu, Zhenghua Chen, Yuwen Li, Xingyao Wang, Shan An, Jianqing Li, Chengyu Liu:
SSA-ICL: Multi-domain adaptive attention with intra-dataset continual learning for Facial expression recognition. Neural Networks 158: 228-238 (2023) - [j51]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan:
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15604-15618 (2023) - [j50]Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li:
Reinforced Adaptation Network for Partial Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2370-2380 (2023) - [j49]Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhengguo Li, Zhenghua Chen:
Multi-Source Video Domain Adaptation With Temporal Attentive Moment Alignment Network. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3860-3871 (2023) - [j48]Le Zhang, Wei Cui, Bing Li, Zhenghua Chen, Min Wu, Teo Sin Gee:
Privacy-Preserving Cross-Environment Human Activity Recognition. IEEE Trans. Cybern. 53(3): 1765-1775 (2023) - [j47]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan:
ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 210-221 (2023) - [j46]Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen, Min Wu, Zhenghua Chen:
Component Detection for Power Line Inspection Using a Graph-Based Relation Guiding Network. IEEE Trans. Ind. Informatics 19(9): 9280-9290 (2023) - [j45]Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen, Zhenghua Chen:
Fault Diagnosis in Power Line Inspection Using Normalized Multihierarchy Embedding Matching. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j44]Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Jianqing Li, Chengyu Liu:
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning. IEEE J. Biomed. Health Informatics 27(11): 5225-5236 (2023) - [j43]Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. ACM Trans. Knowl. Discov. Data 17(8): 106:1-106:18 (2023) - [j42]Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen:
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. IEEE Trans. Knowl. Data Eng. 35(9): 9769-9782 (2023) - [j41]Devki Nandan Jha, Zhenghua Chen, Shudong Liu, Min Wu, Jiahan Zhang, Graham Morgan, Rajiv Ranjan, Xiaoli Li:
A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment. IEEE Trans. Sustain. Comput. 8(1): 1-14 (2023) - [j40]Yatian Pang, Francis Eng Hock Tay, Li Yuan, Zhenghua Chen:
Masked Autoencoders for 3D Point Cloud Self-supervised Learning. World Sci. Annu. Rev. Artif. Intell. 1: 2440001:1-2440001:22 (2023) - [c34]Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie:
SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. AAAI 2023: 10253-10261 - [c33]Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li:
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation. ICCV 2023: 13399-13410 - [c32]Xing Wei, Yaofeng Tu, Yinjun Han, Zhenghua Chen, Xuecheng Qi, Daojun Hua:
Sailfish: Exploring Heterogeneous Query Acceleration on Discrete CPU-FPGA Architecture. ICDEW 2023: 198-204 - [c31]Yubo Hou, Tram Truong-Huu, Zhenghua Chen, Chee-Keong Kwoh, Sin G. Teo:
PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection. ICDM (Workshops) 2023: 1322-1331 - [c30]Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. IJCAI 2023: 4460-4468 - [c29]Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen:
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. KDD 2023: 1989-1998 - [i32]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Label-efficient Time Series Representation Learning: A Review. CoRR abs/2302.06433 (2023) - [i31]Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen:
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. CoRR abs/2302.13797 (2023) - [i30]Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li:
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation. CoRR abs/2303.10451 (2023) - [i29]Xiyu Wang, Yuecong Xu, Jianfei Yang, Kezhi Mao, Xiaoli Li, Zhenghua Chen:
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation. CoRR abs/2303.10452 (2023) - [i28]Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Jianqing Li, Chengyu Liu:
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning. CoRR abs/2304.04646 (2023) - [i27]Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. CoRR abs/2307.03347 (2023) - [i26]Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen:
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. CoRR abs/2307.07542 (2023) - [i25]Chenxi Huang, Chaoyang Jiang, Zhenghua Chen:
Shuffled Differentially Private Federated Learning for Time Series Data Analytics. CoRR abs/2307.16196 (2023) - [i24]Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen:
Unlimited Knowledge Distillation for Action Recognition in the Dark. CoRR abs/2308.09327 (2023) - [i23]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Graph Contextual Contrasting for Multivariate Time Series Classification. CoRR abs/2309.05202 (2023) - [i22]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data. CoRR abs/2309.05305 (2023) - [i21]Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Zhipeng Cai, Lulu Zhao, Jianqing Li, Chengyu Liu:
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition. CoRR abs/2310.14165 (2023) - [i20]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. CoRR abs/2311.10806 (2023) - 2022
- [j39]Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen, Xiaoli Li:
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction. IEEE CAA J. Autom. Sinica 9(8): 1427-1439 (2022) - [j38]Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wang, Min Wu, Xiaoli Li:
Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks. Neurocomputing 485: 242-251 (2022) - [j37]Yaping Fu, Yushuang Hou, Zhenghua Chen, Xujin Pu, Kaizhou Gao, Ali Sadollah:
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization. Swarm Evol. Comput. 68: 101015 (2022) - [j36]Xiaoli Li, Huanhuan Chen, Thomas Ploetz, Min Wu, Zhenghua Chen:
Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 725-727 (2022) - [j35]Qing Xu, Zhenghua Chen, Keyu Wu, Chao Wang, Min Wu, Xiaoli Li:
KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Electron. 69(2): 2022-2032 (2022) - [j34]Ruibing Jin, Zhenghua Chen, Keyu Wu, Min Wu, Xiaoli Li, Ruqiang Yan:
Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j33]Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Conditional Contrastive Domain Generalization for Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j32]Wei Cui, Le Zhang, Bing Li, Zhenghua Chen, Min Wu, Xiaoli Li, Jiawen Kang:
Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization. IEEE Trans. Veh. Technol. 71(9): 10215-10219 (2022) - [c28]Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li:
Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation. AAAI 2022: 8683-8690 - [c27]Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen:
Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition. ECCV (34) 2022: 147-164 - [c26]Bing Li, Wei Cui, Yanru Chen, Joey Tianyi Zhou, Zhenghua Chen, Yuli Li, Min Wu:
Cost-effective Elderly Fall Detection with Symmetry Transformer Networks. HPCC/DSS/SmartCity/DependSys 2022: 1837-1845 - [i19]Yuecong Xu, Jianfei Yang, Haozhi Cao, Jianxiong Yin, Zhenghua Chen, Xiaoli Li, Zhengguo Li, Qianwen Xu:
Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study. CoRR abs/2202.09545 (2022) - [i18]Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen:
Learning Temporal Consistency for Source-Free Video Domain Adaptation. CoRR abs/2203.04559 (2022) - [i17]Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. CoRR abs/2203.08321 (2022) - [i16]Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong:
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges. CoRR abs/2205.03824 (2022) - [i15]Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
EXTERN: Leveraging Endo-Temporal Regularization for Black-box Video Domain Adaptation. CoRR abs/2208.05187 (2022) - [i14]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification. CoRR abs/2208.06616 (2022) - [i13]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation. CoRR abs/2210.06286 (2022) - [i12]Yuecong Xu, Haozhi Cao, Zhenghua Chen, Xiaoli Li, Lihua Xie, Jianfei Yang:
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey. CoRR abs/2211.10412 (2022) - [i11]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup. CoRR abs/2212.01555 (2022) - 2021
- [j31]Wei Cui, Bing Li, Le Zhang, Zhenghua Chen:
Device-free single-user activity recognition using diversified deep ensemble learning. Appl. Soft Comput. 102: 107066 (2021) - [j30]Zhiguang Cao, Tingbo Liao, Wen Song, Zhenghua Chen, Chongshou Li:
Detecting the shuttlecock for a badminton robot: A YOLO based approach. Expert Syst. Appl. 164: 113833 (2021) - [j29]Xiaoli Li, Peilin Zhao, Min Wu, Zhenghua Chen, Le Zhang:
Deep learning for human activity recognition. Neurocomputing 444: 214-216 (2021) - [j28]Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Attention-based sequence to sequence model for machine remaining useful life prediction. Neurocomputing 466: 58-68 (2021) - [j27]Xiangyu Zhang, Jianqing Li, Zhipeng Cai, Li Zhang, Zhenghua Chen, Chengyu Liu:
Over-fitting suppression training strategies for deep learning-based atrial fibrillation detection. Medical Biol. Eng. Comput. 59(7-8): 165-173 (2021) - [j26]Jie Ding, Changyun Wen, Guoqi Li, Zhenghua Chen:
Key Nodes Selection in Controlling Complex Networks via Convex Optimization. IEEE Trans. Cybern. 51(1): 52-63 (2021) - [j25]Zhenghua Chen, Min Wu, Kaizhou Gao, Jiyan Wu, Jie Ding, Zeng Zeng, Xiaoli Li:
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 803-812 (2021) - [j24]Zhenghua Chen, Min Wu, Rui Zhao, Feri Guretno, Ruqiang Yan, Xiaoli Li:
Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach. IEEE Trans. Ind. Electron. 68(3): 2521-2531 (2021) - [j23]Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan Sheng Foo, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 17(8): 5239-5249 (2021) - [j22]Mohamed Ragab, Zhenghua Chen, Min Wu, Haoliang Li, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Adversarial Multiple-Target Domain Adaptation for Fault Classification. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j21]Jiyan Wu, Min Wu, Zhenghua Chen, Xiaoli Li, Ruqiang Yan:
Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j20]Chaoyi Zhu, Zhenghua Chen, Rui Zhao, Jinjiang Wang, Ruqiang Yan:
Decoupled Feature-Temporal CNN: Explaining Deep Learning-Based Machine Health Monitoring. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j19]Zhenghua Chen, Min Wu, Wei Cui, Chengyu Liu, Xiaoli Li:
An Attention Based CNN-LSTM Approach for Sleep-Wake Detection With Heterogeneous Sensors. IEEE J. Biomed. Health Informatics 25(9): 3270-3277 (2021) - [c25]Bing Li, Wei Cui, Wei Wang, Le Zhang, Zhenghua Chen, Min Wu:
Two-Stream Convolution Augmented Transformer for Human Activity Recognition. AAAI 2021: 286-293 - [c24]Zaifeng Yang, Yubo Hou, Zhenghua Chen, Le Zhang, Jie Chen:
A Multi-Stage Progressive Learning Strategy for Covid-19 Diagnosis Using Chest Computed Tomography with Imbalanced Data. ICASSP 2021: 8578-8582 - [c23]Yuecong Xu, Jianfei Yang, Haozhi Cao, Zhenghua Chen, Qi Li, Kezhi Mao:
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network. ICCV 2021: 9312-9321 - [c22]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Time-Series Representation Learning via Temporal and Contextual Contrasting. IJCAI 2021: 2352-2359 - [c21]Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li:
Deep Reinforcement Learning Boosted Partial Domain Adaptation. IJCAI 2021: 3192-3199 - [c20]Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang:
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer. NeurIPS 2021: 11096-11107 - [c19]Yaofeng Tu, Yinjun Han, Hao Jin, Zhenghua Chen, Yanchao Zhao:
RDMA Based Performance Optimization on Distributed Database Systems: A Case Study with GoldenX. WASA (2) 2021: 237-248 - [p2]Le Zhang, Jagannadan Varadarajan, Yong Pei, Zhenghua Chen:
Hierarchically Aggregated Deep Convolutional Neural Networks for Action Recognition. Generalization with Deep Learning 2021: 31-53 - [p1]Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li:
Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks. Generalization with Deep Learning 2021: 279-301 - [e1]Zhenghua Chen, Min Wu, Xiaoli Li:
Generalization with Deep Learning: For Improvement on Sensing Capability. WorldScientific 2021, ISBN 9789811218835 [contents] - [i10]Rooholla Khorrambakht, Chris Xiaoxuan Lu, Hamed Damirchi, Zhenghua Chen, Zhengguo Li:
Deep Inertial Odometry with Accurate IMU Preintegration. CoRR abs/2101.07061 (2021) - [i9]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Time-Series Representation Learning via Temporal and Contextual Contrasting. CoRR abs/2106.14112 (2021) - [i8]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification. CoRR abs/2107.04470 (2021) - [i7]Yuecong Xu, Jianfei Yang, Haozhi Cao, Qi Li, Kezhi Mao, Zhenghua Chen:
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network. CoRR abs/2107.04941 (2021) - [i6]Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Rui Zhao, Zhenghua Chen:
Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment. CoRR abs/2109.09964 (2021) - [i5]Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang:
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer. CoRR abs/2110.02544 (2021) - [i4]Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li:
Self-supervised Autoregressive Domain Adaptation for Time Series Data. CoRR abs/2111.14834 (2021) - 2020
- [j18]Jing Yang, Bing Zheng, Zhenghua Chen:
Optimization of Tourism Information Analysis System Based on Big Data Algorithm. Complex. 2020: 8841419:1-8841419:11 (2020) - [j17]Jianfei Yang, Han Zou, Shuxin Cao, Zhenghua Chen, Lihua Xie:
MobileDA: Toward Edge-Domain Adaptation. IEEE Internet Things J. 7(8): 6909-6918 (2020) - [j16]Le Zhang, Zhenghua Chen, Wei Cui, Bing Li, Cen Chen, Zhiguang Cao, Kaizhou Gao:
WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests. IEEE Internet Things J. 7(11): 10773-10781 (2020) - [j15]Zhenghua Chen, Han Zou, Jianfei Yang, Hao Jiang, Lihua Xie:
WiFi Fingerprinting Indoor Localization Using Local Feature-Based Deep LSTM. IEEE Syst. J. 14(2): 3001-3010 (2020) - [j14]Zhenghua Chen, Yanbing Yang, Chaoyang Jiang, Jie Hao, Le Zhang:
Light Sensor Based Occupancy Estimation via Bayes Filter With Neural Networks. IEEE Trans. Ind. Electron. 67(7): 5787-5797 (2020) - [j13]Zhenghua Chen, Chaoyang Jiang, Shili Xiang, Jie Ding, Min Wu, Xiaoli Li:
Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori. IEEE Trans. Instrum. Meas. 69(7): 3992-4001 (2020) - [j12]Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Zhenghua Chen, Le Zhang, Xuexi Zhang:
Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation. IEEE Trans. Veh. Technol. 69(3): 2424-2436 (2020) - [c18]Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li:
Deep learning with long short-term memory networks for classification of dementia related travel patterns. EMBC 2020: 5563-5566 - [c17]Yubo Hou, Zhenghua Chen, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Raed M. Shubair:
Mahalanobis Distance Based Adversarial Network for Anomaly Detection. ICASSP 2020: 3192-3196 - [c16]Yaofeng Tu, Yinjun Han, Zhenghua Chen, Zhengguang Chen, Bing Chen:
URFS: A User-space Raw File System based on NVMe SSD. ICPADS 2020: 494-501 - [c15]Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Adversarial Transfer Learning for Machine Remaining Useful Life Prediction. ICPHM 2020: 1-7 - [c14]Zaifeng Yang, Zhenghua Chen:
Learning From Paired and Unpaired Data: Alternately Trained CycleGAN for Near Infrared Image Colorization. VCIP 2020: 467-470 - [c13]Jiajia Huang, Min Li Huang, Peng Hui Tan, Zhenghua Chen, Sumei Sun:
Semi-Supervised Deep Learning Based Wireless Interference Identification for IIoT Networks. VTC Fall 2020: 1-5 - [i3]Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction. CoRR abs/2007.09868 (2020)
2010 – 2019
- 2019
- [j11]Kaizhou Gao, Zhiguang Cao, Le Zhang, Zhenghua Chen, Yuyan Han, Quanke Pan:
A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems. IEEE CAA J. Autom. Sinica 6(4): 904-916 (2019) - [j10]Zhenghua Chen, Chaoyang Jiang, Lihua Xie:
A Novel Ensemble ELM for Human Activity Recognition Using Smartphone Sensors. IEEE Trans. Ind. Informatics 15(5): 2691-2699 (2019) - [j9]Qingchang Zhu, Zhenghua Chen, Yeng Chai Soh:
A Novel Semisupervised Deep Learning Method for Human Activity Recognition. IEEE Trans. Ind. Informatics 15(7): 3821-3830 (2019) - [j8]Zhenghua Chen, Le Zhang, Chaoyang Jiang, Zhiguang Cao, Wei Cui:
WiFi CSI Based Passive Human Activity Recognition Using Attention Based BLSTM. IEEE Trans. Mob. Comput. 18(11): 2714-2724 (2019) - [j7]Chaoyang Jiang, Zhenghua Chen, Rong Su, Yeng Chai Soh:
Group Greedy Method for Sensor Placement. IEEE Trans. Signal Process. 67(9): 2249-2262 (2019) - [c12]Zhenghua Chen, Min Wu, Jiyan Wu, Jie Ding, Zeng Zeng, Karl Surmacz, Xiaoli Li:
A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data. BHI 2019: 1-4 - [i2]Haofan Wang, Zhenghua Chen, Yi Zhou:
Hybrid coarse-fine classification for head pose estimation. CoRR abs/1901.06778 (2019) - 2018
- [j6]Zhenghua Chen, Le Zhang, Zhiguang Cao, Jing Guo:
Distilling the Knowledge From Handcrafted Features for Human Activity Recognition. IEEE Trans. Ind. Informatics 14(10): 4334-4342 (2018) - [c11]Chaoyang Jiang, Zhenghua Chen, Lih Chieh Png, Korkut Bekiroglu, Seshadhri Srinivasan, Rong Su:
Building Occupancy Detection from Carbon-dioxide and Motion Sensors. ICARCV 2018: 931-936 - 2017
- [j5]Zhenghua Chen, Rui Zhao, Qingchang Zhu, Mustafa K. Masood, Yeng Chai Soh, Kezhi Mao:
Building Occupancy Estimation with Environmental Sensors via CDBLSTM. IEEE Trans. Ind. Electron. 64(12): 9549-9559 (2017) - [j4]Zhenghua Chen, Qingchang Zhu, Mustafa K. Masood, Yeng Chai Soh:
Environmental Sensors-Based Occupancy Estimation in Buildings via IHMM-MLR. IEEE Trans. Ind. Informatics 13(5): 2184-2193 (2017) - [j3]Zhenghua Chen, Qingchang Zhu, Yeng Chai Soh, Le Zhang:
Robust Human Activity Recognition Using Smartphone Sensors via CT-PCA and Online SVM. IEEE Trans. Ind. Informatics 13(6): 3070-3080 (2017) - 2016
- [j2]Zhenghua Chen, Qingchang Zhu, Yeng Chai Soh:
Smartphone Inertial Sensor-Based Indoor Localization and Tracking With iBeacon Corrections. IEEE Trans. Ind. Informatics 12(4): 1540-1549 (2016) - [i1]Rui Zhao, Ruqiang Yan, Zhenghua Chen, Kezhi Mao, Peng Wang, Robert X. Gao:
Deep Learning and Its Applications to Machine Health Monitoring: A Survey. CoRR abs/1612.07640 (2016) - 2015
- [j1]Zhenghua Chen, Han Zou, Hao Jiang, Qingchang Zhu, Yeng Chai Soh, Lihua Xie:
Fusion of WiFi, Smartphone Sensors and Landmarks Using the Kalman Filter for Indoor Localization. Sensors 15(1): 715-732 (2015) - [c10]Qingchang Zhu, Zhenghua Chen, Yeng Chai Soh:
Using unlabeled acoustic data with locality-constrained linear coding for energy-related activity recognition in buildings. CASE 2015: 174-179 - 2014
- [c9]Zhenghua Chen, Yeng Chai Soh:
Modeling building occupancy using a novel inhomogeneous Markov chain approach. CASE 2014: 1079-1084 - 2010
- [c8]Li Li, Qiu Yin, Hua Xu, Cailan Gong, Zhenghua Chen:
Estimating chlorophyll a concentration in lake water using space-borne hyperspectral data. IGARSS 2010: 401-404 - [c7]Jia Liu, Qiu Yin, Hua Xu, Li Li, Zhenghua Chen, Yuhuan Ren, Weizhen Hou, Pengfei Yin:
Spectral data analysis of ground objects in Chao Lake basin. IGARSS 2010: 891-894 - [c6]Hua Xu, Xingfa Gu, Qiu Yin, Li Li, Zhenghua Chen, Yuhuan Ren, Weizhen Hou, Jia Liu, Pengfei Yin:
An atmospheric correction algorithm for hyperspectral imagery of lake water by Chinese satellite HJ-1A. IGARSS 2010: 2259-2262 - [c5]Weizhen Hou, Qiu Yin, Hua Xu, Li Li, Zhenghua Chen:
A comparison of two stream approximation for the discrete ordinate method and the SOS method. IGARSS 2010: 3580-3583 - [c4]Zhenghua Chen, Qiu Yin, Li Li, Hua Xu:
Ecosystem health assessment by using remote sensing derived data: A case study of terrestrial region along the coast in Zhejiang province. IGARSS 2010: 4526-4529
2000 – 2009
- 2009
- [c3]Bo Han, Yan Yan, Zhenghua Chen, Chang Liu, Weiguo Wu:
A general framework for automatic on-line replay detection in sports video. ACM Multimedia 2009: 501-504 - 2007
- [c2]Qingyuan Ma, Chao Zhang, Zhenghua Chen, Zhen Yang:
Management decision-making support system of percision agriculture based on CNCS. IGARSS 2007: 819-822 - [c1]Zhenghua Chen, Jian Wang, Qingyuan Ma, Zhen Yang:
Assessing value of grassland ecosystem services in Gansu Province, northwest of China. IGARSS 2007: 1782-1785
Coauthor Index
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